Lena S. Bolliger

NLP and machine learning researcher with expertise in large language models, generative modeling, and human–AI alignment. Currently researching latent reasoning in large language models.

Lena S. Bolliger, NLP Researcher and PhD candidate at University of Zurich

About

Hi, I'm Lena 👋 I am a PhD Candidate at the University of Zurich at the Department of Computational Linguistics, supervised by Prof. Dr. Lena A. Jäger and Prof. Dr. Rico Sennrich. My research focuses on the cognitive enhancement of language models, the generative modeling of eye movements in reading by means of diffusion models, and human-AI alignment.

Currently, I'm working as a Research Intern at Huawei in London, supervised by Gerasimos Lampouras and Victor Prokhorov, where I work on improving LLMs' language understanding by inserting dynamic latent tokens.

Beyond research and AI, I am a passionate classical pianist, playing since the age of three, and am a windsurfing addict, having worked as windsurfing instructor during summer seasons.

Publications

2025

Wave 2 of the Multilingual Eye-Movement Corpus (MECO): New text reading data across languages

Noam Siegelman, Sascha Schroeder, ..., Lena S. Bolliger, et al.

Nature Scientific Data, 2025

2025
2025

Proxy-Based Pre-Training for Eye-Tracking Applications

David R. Reich, Cui Ding, Lena S. Bolliger, Patrick Haller, Paul Prasse, Lena A. Jäger

ACM HCI/ETRA 2025

2025

New data on text reading in English as a second language: The Wave 2 expansion of the Multilingual Eye-Movement Corpus (MECO)

Victor Kuperman, Sascha Schroeder, ..., Lena S. Bolliger, et al.

Studies in Second Language Acquisition, 2025

2024

On the Alignment of LM Language Generation and Human Language Comprehension

Lena S. Bolliger, Patrick Haller, Lena A. Jäger

EMNLP/BlackboxNLP 2024

2024

EMTeC: A Corpus of Eye Movements on Machine-Generated Texts

Lena S. Bolliger, Patrick Haller, Isabelle C. R. Cretton, David R. Reich, Tannon Kew, Lena A. Jäger

Behavior Research Methods

2024

An Eye Opener Regarding Task-Based Text Gradient Saliency

Guojun Wu, Lena S. Bolliger, David R. Reich, Lena A. Jäger

ACL/CMCL 2024

2024

On language models' cognitive biases in reading time prediction

Patrick Haller, Lena S. Bolliger, Lena A. Jäger

ICML 2024

2023

ScanDL: A Diffusion Model for Generating Synthetic Scanpaths on Texts

Lena S. Bolliger, David R. Reich, Patrick Haller, Deborah N. Jakobi, Paul Prasse, Lena A. Jäger

EMNLP 2023

Experience

2025 – Present

Research Intern

Huawei Noah's Ark Lab, London

Working on improving LLMs' language understanding abilities and efficiency by inserting latent tokens.

2022 – Present

Ph.D. Candidate & Research Assistant

University of Zurich

Research on cognitive enhancement of LLMs, generative modeling of eye movements, and human-AI alignment. Implemented ScanDL and ScanDL 2.0 diffusion models. Collected a large-scale eye-tracking dataset of human reading behavior on machine-generated texts (EMTeC).

2023 – Present

Lecturer

University of Zurich

Designed and taught "Mathematics for Computational Linguistics II" and "Cognitively Enhanced NLP" courses.

Teaching

FW 2024

Lecturer

Mathematics for Computational Linguistics 2

University of Zurich

FW 2024

Lecturer

Cognitively Enhanced NLP

University of Zurich

FW 2023

Lecturer

Cognitively Enhanced NLP

University of Zurich

FW 2022

Teaching Assistant

Quantitative Methods

University of Zurich

SS 2022

Teaching Assistant

Eye tracking: Experiment design and machine learning methods

University of Zurich

FW 2021

Teaching Assistant

Quantitative Methods

University of Zurich